Probability, Statistics and Modelling in Public Health

M. S. Nikulin (u. a.)

ISBN 10: 1441938567 / ISBN 13: 9781441938565

Published by Springer, 2010

About this Item

Probability, Statistics and Modelling in Public Health | M. S. Nikulin (u. a.) | Taschenbuch | xxiv | Englisch | 2010 | Springer | EAN 9781441938565 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 107038935

Bibliographic Details

• Title: Probability, Statistics and Modelling in Public Health
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 1441938567
• ISBN 13: 9781441938565
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 756 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.

From the Back Cover

Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.

Audience

This book is intended for researchers interested in statistical methodology in the biomedical field.